Triple

T10439831
Position Surface form Disambiguated ID Type / Status
Subject Noli Me Tangere E246137 entity
Predicate containsWord P6841 FINISHED
Object Noli E246137 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Noli | Statement: [Noli Me Tangere, containsWord, Noli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noli
Context triple: [Noli Me Tangere, containsWord, Noli]
  • A. La Nueva Isabela
    La Nueva Isabela was the original Spanish colonial settlement that became the city of Santo Domingo in the Dominican Republic.
  • B. Editha
    Editha is an alternate given name of Cedella Booker, the Jamaican singer and mother of Bob Marley.
  • C. Noli Me Tangere chosen
    Noli Me Tangere is a Latin phrase meaning "Touch me not," historically associated with both Christian scripture and military heraldry as a motto of restraint and warning.
  • D. Mabini
    Mabini is a coastal municipality in the province of Batangas in the Philippines, known for its diving spots and marine biodiversity.
  • E. Mamanguape
    Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9d3a888190bf490b004a16c3ee completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ed6edd88190afd5063daba58a46 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.